Run | HLT path | Recorded (/μb) |

132599 | HLT_ZeroBias | 0.229 |

132601 | HLT_ZeroBias | 0.502 |

132602 | HLT_ZeroBias | 0.028 |

132605 | HLT_ZeroBias | 0.344 |

132606 | HLT_ZeroBias | 0.005 |

132716 | HLT_ZeroBias | 0.151 |

== = Total :

Selected LS | Recorded (/μb) | Effective (/μb) |

HLT_ZeroBias |

2904 | 74.323 | 1.260 |

133874 | HLT_ZeroBias | 0.223 |

== = Total :

Selected LS | Recorded (/μb) | Effective (/μb) |

HLT_ZeroBias |

694 | 201.907 | 0.223 |

135175 | HLT_ZeroBias | 0.725 |

== = Total :

Selected LS | Recorded (/μb) | Effective (/μb) |

HLT_ZeroBias |

988 | 427.551 | 0.725 |

ZeroBias_07px_iEta_iPhi_Run_LS running but forgot to include HLT_ZeroBias trigger so the dataset might be useless.

ZeroBias_L1MinBiasTrigger running. Same as ZeroBias_07pc_iEta_iPhi_Run_LS but using the L1 Trigger filter on Bit40 and running on the Xsection 0.7% runs as well as the ones used in the trigger analysis. It should therefore be able to analyze the BSC MinBias Threshold1 trigger for the 14XXXX runs and the Cross-section runs.

Run 143955: Fill Number 1303.

Filling Scheme: Alternating R1 R2 pilot.

Run 146431: Fill Number 1364.

Filling Scheme: 16 colliding bunches

Run 143727: Fill Number 1299

Filling Scheme: 1250ns_48b_36_16_36

Run 148864: Fill Number 1440

Filling Scheme 150ns_368b_348_15_344_4xbpi19inj

SINGLE ARM EFFICIENCY PYTHIA6 RESULTS | ||||
---|---|---|---|---|

Event Type | N_{evts} | E>3GeV | E>4GeV | E>5GeV |

Inelastic | 198163 | 0.945166 | 0.934887 | 0.920025 |

ND | 135830 | 0.999396 | 0.998447 | 0.996304 |

DD | 25999 | 0.888919 | 0.858071 | 0.815647 |

SD | 36334 | 0.782683 | 0.752243 | 0.709556 |

SD ξ>=-5 | 24739 | 0.978415 | 0.954161 | 0.913254 |

SD ξ<-5 | 11595 | 0.365071 | 0.321432 | 0.274946 |

DOUBLE ARM EFFICIENCY PYTHIA6 RESULTS | ||||
---|---|---|---|---|

Event Type | N_{evts} | E>3GeV | E>4GeV | E>5GeV |

Inelastic | 198163 | 0.778748 | 0.752421 | 0.718615 |

ND | 135830 | 0.978002 | 0.962321 | 0.937319 |

DD | 25999 | 0.418516 | 0.353091 | 0.284819 |

SD | 36334 | 0.291628 | 0.253482 | 0.211427 |

SD ξ>=-5 | 24739 | 0.428312 | 0.372287 | 0.310522 |

SD ξ<-5 | 11595 | 0 | 0 | 0 |

SINGLE ARM EFFICIENCY PYTHIA8 RESULTS | ||||
---|---|---|---|---|

Event Type | N_{evts} | E>3GeV | E>4GeV | E>5GeV |

Inelastic | 99125 | 0.949095 | 0.944111 | 0.936999 |

ND | 67944 | 1 | 0.999853 | 0.999249 |

DD | 12906 | 0.902139 | 0.886952 | 0.864404 |

SD | 18275 | 0.792996 | 0.777237 | 0.756826 |

SD ξ>=-5 | 12486 | 0.996556 | 0.989989 | 0.976534 |

SD ξ<-5 | 5789 | 0.353947 | 0.318362 | 0.28295 |

DOUBLE ARM EFFICIENCY PYTHIA8 RESULTS | ||||
---|---|---|---|---|

Event Type | N_{evts} | E>3GeV | E>4GeV | E>5GeV |

Inelastic | 99125 | 0.783929 | 0.765397 | 0.737987 |

ND | 67944 | 0.990492 | 0.978247 | 0.954301 |

DD | 12906 | 0.408647 | 0.365411 | 0.316442 |

SD | 18275 | 0.280985 | 0.256525 | 0.231464 |

SD ξ>=-5 | 12486 | 0.411261 | 0.375461 | 0.338779 |

SD &yxi;<-5 | 5789 | 0 | 0 | 0 |

SINGLE ARM EFFICIENCY PHOJET RESULTS | ||||
---|---|---|---|---|

Event Type | N_{evts} | E>3GeV | E>4GeV | E>5GeV |

Inelastic | 468340 | 0.981782 | 0.973052 | 0.966742 |

ND | 374291 | 0.999797 | 0.999402 | 0.998253 |

DD | 23540 | 0.970093 | 0.952761 | 0.936958 |

SD | 62712 | 0.891568 | 0.845596 | 0.818551 |

CD | 7797 | 0.877902 | 0.794536 | 0.735924 |

SD ξ>=-5 | 46035 | 0.99659 | 0.989942 | 0.976127 |

SD ξ<-5 | 16677 | 0.601667 | 0.447143 | 0.383582 |

DOUBLE ARM EFFICIENCY PHOJET RESULTS | ||||
---|---|---|---|---|

Event Type | N_{evts} | E>3GeV | E>4GeV | E>5GeV |

Inelastic | 468340 | 0.877412 | 0.845779 | 0.813435 |

ND | 374291 | 0.982134 | 0.964204 | 0.933955 |

DD | 23540 | 0.706797 | 0.632413 | 0.575956 |

SD | 62712 | 0.391711 | 0.303483 | 0.268115 |

CD | 7797 | 0.271899 | 0.166731 | 0.130948 |

SD ξ>=-5 | 46035 | 0.509134 | 0.410992 | 0.346128 |

SD ξ<-5 | 16677 | 0.0675781 | 0.00671584 | 0.000599628 |

+++---1-Apr-2011 Noisy towers
With the use of the ieta() and iphi() from the detid, I was able to find the exact towers which were contributing more to the counts than others.
The tower ieta, iphi values are:

1) ieta = 34, iphi = 33

2) ieta = 40, iphi = 43

I then ran a test job of 443000 events and looked for the following:
1) How many HF single arm events over 3 GeV. **36242**

2) How many HF single arm events over 3 GeV in which either 'bad' tower was hit. *9785*

3) How many HF single arm events over 3 GeV which did not include the bad towers. *36242*

4) How many HF single arm events ONLY in the bad towers. *0*

Conclusion: The noisy towers, which seem to be due to small pedestal shifts, did not artificially contribute to the number of counts over threshold. No events exist in which the noisy towers were responsible for counting the event. If the noisy towers fired, many other towers also fired and the event would have been counted anyway, even if the bad towers were masked.

In

**Phojet_Full_Extra_Phi.root** Phojet dataset. Large and with HF Phi information for removing the noisy HF towers.
**Pythia6_Full_Extra_Phi.root** Pythia6 dataset. Large and with HF Phi information for removing the noisy HF towers.
**Pythia8_Full_Extra_Phi.root** Pythia8 dataset. Large and with HF Phi information for removing the noisy HF towers.
**Phojet_FullEta.root** Phojet MC Full simulation with η >0 and η<0 cuts

**Phojet_Large.root** Large Phojet full simulation with 2.9<|η|<5.2 cuts

**Pythia6_FullEta.root** Pythia6 MC Full simulation with η >0 and η<0 cuts

**Pythia6_Large.root** Large Pythia6 full simulation with 2.9<|η|<5.2 cuts

**Pythia8_FullEta.root** Pythia8 MC Full simulation with η >0 and η<0 cuts

**Pythia8_Full_Extra.root** Large Pythia8 full simulation with η >0 and η<0 cuts and 5.5GeV and 6GeV cuts.

**Pythia8_Large.root** Large Pythia8 full simulation with η >0 and η<0 cuts and 5.5GeV and 6GeV cuts.

**Real_Data_Full.root** 0.7% pileup dataset with η >0 and η<0 cuts

**Realdata_ZeroBias.root** 0.7% pileup dataset with η >2.9 and η<5.2 cuts

**ZB_BKGD_BPTX_MinusOnly.root** Background measurements with η >2.9 and η<5.2 cuts

**ZB_BKGD_BPTX_PlusOnly.root** Background measurements with η >2.9 and η<5.2 cuts

**ZB_Random_FullEta.root**
**ZB_Real_Data_Eta_3_5.root** Zerobias data with Jeremy's 3>η<5 eta cuts???

**ZB_Real_FullEta.root** ZeroBias data with η>0 and η<0 cuts

**ZB_Real_Jeremys_Etas.root** Zerobias data with Jeremy's 3>η<5 eta cuts

**ZeroBias_BKGD_BPTX_XOR.root** Combined ZB_BKGD_BPTX_MinusOnly.root and ZB_BKGD_BPTX_PlusOnly.root

**ZeroBias_Full_Extra.root** Zero Bias dataset with full η>0, η<0 cuts and extra energy cuts of 3.5GeV, 5.5GeV and 6GeV

**ZeroBias_BKGD_BPTX_OR_Extra.root** Combined ZB_BKGD_BPTX_MinusOnly.root and ZB_BKGD_BPTX_PlusOnly.root with 3.5, 5.5 and 6GeV cuts

**ZeroBias_RECO_June14thReReco_v1.root** Sample of ZeroBias data for CMSSW job testing.

This topic: Sandbox > TWikiUsers > AlanBell > AlanBellSandbox

Topic revision: r14 - 2011-05-02 - AlanBell

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